TelosB

August 20, 2008

Extending Our Senses into the Physical World

The picture of a future with wireless sensor networks-webs of sensory devices that function without a central infrastructure--is quickly coming into sharper focus through the work of Los Alamos National Laboratory computer scientist Sami Ayyorgun. Using Crossbow's TelosB Motes in their research, proponents of this new technology see a world with deployments to improve a wide range of operations.

LANL.TelosB Engineers could wirelessly monitor miles of gas and oil pipelines stretching across arid land for ruptures, damage, and tampering. Rescue workers might detect signs of life under the rubble of a collapsed building after an earthquake, thanks to a network of sensors inside the structure. Armed forces could keep an eye on a combat zone or a vast international border via a sensor network that could promptly provide alerts of any intrusion or illicit trafficking.

"It's not easy to envision the impacts that sensor networks will make, both socially and economically," Ayyorgun said. "Like many other researchers, I think they are likely to rival the impact that the Internet has made on our lives."

Ayyrogun has developed a new communication scheme that brings the reality of these and other applications a step closer. He has shown for the first time that concurrent gains in many measures of performance are possible, including connectivity, energy, delay, throughput, system longevity, coverage, and security.

In recognition of the multifaceted improvements Ayyorgun's research makes on state-of-the-art technology in this field, his recent paper, "Towards a Self-organizing Stochastic-Communications Paradigm for Wireless Ad-hoc/Sensor Networks," has been nominated for the Best-Paper Award from a pool of more than 250 manuscripts at the International Conference on Mobile Ad-hoc and Sensor Systems (MASS) of the Institute of Electrical and Electronics Engineers (IEEE). Ayyorgun will present the paper at this prestigious meeting of the IEEE beginning September 29, in Atlanta, Georgia.

Like cell phones, wireless sensor networks depend on small, independently powered devices, often called motes, to communicate. But unlike cell phones, which always relay their signal through a base station such as a tower, multihop sensor motes use each other to relay signals, transmitting communiqués through a series of "hops" from one mote to the next. Without the need to build a mesh of base stations that must be wired or have a substantial supply of energy, creating information-bearing ad-hoc networks to suit each unique set of circumstances would significantly reduce costs.

"Wiring or 'beefing up' system resources is expensive and is often not feasible for many applications," Ayyorgun said, calling that a "major impetus" for wireless network research. But with nearly all motes dependent on a portable source of power like a battery, it is important that the devices be as energy efficient as possible. "Energy efficiency is a first-class design criterion," he said.

TelosB And energy utilization isn't the only consideration. Other performance aspects of concern include the system's connectivity; the delay, or time it takes for data to be transported; the throughput, which measures the amount of data the system can handle at once; and network security, to name a few. Many solutions aimed at advancing wireless sensor networks have managed to improve performance over at most a few metrics at the expense of others. Ayyorgun analogizes the conundrum to a Rubik's cube, the cube-shaped toy in which the aim is to match each of the six sides with one distinct color. Often, gains in one aspect of wireless sensor network performance such as energy efficiency have only been achieved with losses in another area, such as the end-to-end delay.

With Ayyorgun's scheme, however, "all of the colors have started to match," he said. The sensor network was more energy efficient with shorter delay times, and the other performance considerations mentioned earlier have all improved as well.  "The motes communicate randomly, but their random behavior-their genetic code, if you will-has collective intelligence by design," he said. That collective intelligence results in the concurrent performance gains over many aspects, he added.

"We have good colors on all sides, but it's not perfect yet," Ayyorgun said, emphasizing that wireless sensor networks are still in the development stage. Many issues remain to be addressed, just as we are beginning to realize the potential of these "networks of the future."

Ayyorgun acknowledges the support of the Laboratory Directed Research and Development Office at Los Alamos, the Los Alamos Engineering Institute, the Center for Nonlinear Studies, and colleagues, as well as his students.

Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is operated by Los Alamos National Security, LLC, a team composed of Bechtel National, the University of California, The Babcock & Wilcox Company, and Washington Group International for the Department of Energy's National Nuclear Security Administration.

Los Alamos enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

August 08, 2008

The latest buzz...

If you are looking for ways to expand the capabilities of your Mote deployment, there's a new sensor you should look into - introducing the new BumbleBee Radar! The BumbleBee is a coherent, pulsed Doppler radar offering rich information at a strikingly low price. Introduced in mid-April by The Samraksh Company, the radar ships ready for use with Crossbow's TelosB Motes.

BumbleBee.TelosB  

Being a pulsed Doppler radar, the BumbleBee measures radial velocity directly. Because it is coherent, you can determine the sign of the velocity and measure the time structure of relative motion very precisely, even for small motions! Range is not measured directly, but in some contexts you can infer range from motion information.

BumbleBee.Graph

The BumbleBee produces phase information directly resulting in motion information with a resolution of a fraction of a wavelength (i.e. fractions of a centimeter of displacement) which is an order of magnitude finer than if the radar were non-coherent. This information can be received at a rate of ~300 complex (i.e. real and imaginary pairs) samples per second. This capability opens up opportunities for original research and development in diverse signal processing applications.

BumbleBee's sensitivity is optimized for the normal day-to-day movements of people which makes it a compelling choice for monitoring and classifying human activities in commercial and recreational settings. This device could be used to monitor the usage of urban playgrounds, public parks, employer provided recreational facilities, office conference rooms and waiting areas. Quantitative measurements of loitering, underuse, overuse and unauthorized use would provide an improved basis for setting policy, deciding layouts or evaluating security measures.

BumbleBee.Uses

Other interesting applications include the classification of unique patterns of movement, such as dancing or fighting in nightclubs, exercising or falling in a retirement home, and even working or sitting around on a construction site. Automated detection of various activities would expedite response in abnormal situations and provide positive feedback in normal situations. Not all applications need to center on people of course! For example BumbleBee can be used to do non-contact wobble detection of rotating machinery in industrial settings, monitor livestock activity, even recognize rodents or snakes in remote parts of a building or an urban infrastructure!

BumbleBee.Board

The BumbleBee facilitates information rich applications without compromising on Mote-scale constraints. It uses less than 40 mW or total power, has a range of ~10m, and is form factor compatible with Motes. Most importantly, its technology facilitates a new cost paradigm that is more compatible at a system level with the use of large scale Mote networks. At $100 USD/each, price is its most innovative feature! For more information contact info@samraksh.com.

BumbleBee is patented, but a usage license is made available as part of the purchase price for research usage. The Samraksh Company also promises very reasonable terms for small and mid-scale industrial applications. The radar conforms to FCC regulations for operation within the ISM unlicensed band (at 5.8GHz). Non-research applications may need additional FCC certification.

February 20, 2008

Swarm Navigation with TelosB Motes

Easysenswarmagent_3 The concept introduced below provides a highly effective swarm navigation scheme that is of low complexity, robust, and highly scalable. Rather than using a few highly complex and expensive swarm agents to complete a mission, the group at Easysen believe in the advantages of large ultra-low complexity swarms that solve problems reliably through emergent behavior.

EasySen is a start-up company who in conjunction with the University of Notre Dame’s Mobile Sensing Systems (MOSES) Lab, has developed an autonomous sensor swarm that uses TelosB nodes for navigation of swarm agents. The principle is based on Zigbee radio beacon induced potential fields and provides an ultra low cost and complexity solution to mobile sensing for land, sea, and air vehicles. Stereo TelosB receivers and stereo sensor suites (EasySen SBT80 / SBT30-EDU) allow for rather elaborate task execution.

Easysentelosb_6 The group at EasySen proposed the use of radio frequency beacons to generate (switched) potential fields for navigation of large numbers of swarm agents. The idea is to use attractive beacons as waypoints and local attractors. Repelling beacons on each agent and waypoint are used to control the density of agents and avoid collisions.  If a certain sequence of waypoints defines a navigation path, then the attractive beacons need to be distinguishable and need to be visited in a certain sequence. (This is easily implemented in form of a finite state machine in each sensor swarm agent.) Repelling beacons are local and do not need to be distinguishable.  Individual sensor swarm agents are equipped with a side-looking stereo receiver with opposite directions of highest sensitivity. A simple difference between the left and the right Receive Signal Strength Intensity (RSSI) allows the agent to detect in which half space (relative to the center length axis of the vehicle) a beacon is located. One can then navigate towards a beacon by always moving towards the receiver side that has produced the stronger RSSI reading. For repelling beacons, one always moves towards the direction of the smaller RSSI signal.

The applications of this paradigm are many and range from environmental clean-up such as oil spill removal to surveillance and protection tasks. A ground vehicle swarm that performs a simple detection task is shown in the video below:

The company also produces readily usable plug-in surveillance sensor suites for the TelosB wireless 802.15.4 platform:

  • The Wi-Eye, an ultra-sensitive sensor board that is capable of detecting the IR signature of moving vehicles from as far as hundreds of feet away.
  • The SBT80 is an 8-modality sensing platform, ideal for sensor fusion applications.

Both sensor suites (the Wi-Eye and the SBT80) are prime candidates for perimeter security, traffic monitoring, tracking, and occupancy detection tasks, just to name a few. In addition, EasySen also offers SBT30-EDU, a low-price educational prototyping board that interfaces to external signal sources.  Click here for more information on the TelosB Mote platform.

September 28, 2007

ALARM-Net: Wireless Sensor Networks for Assisted Living and Residential Monitoring

Familycircus_3Thanks to technology and advancements in medicine, people are living longer, and due to a change in the family unit many are living independently. This trend leads towards a growing elder population who have the desire to "age in place." With the high cost of nursing homes and related services, there is a significant need for more efficient and affordable home monitoring solutions. Today there are 35 million people over the age of 65, and by the year 2030 this number will grow to 70 million people based on data collected by the US Census Bureau. Only 4% currently reside somewhere other than their own home, with 90% of Americans, 60 years and older, wanting to remain in their own homes and communities as they age. Of this 90%, it has been determined that 75% of these adults have at least one chronic condition.

Uspopulationpyramid_2

Researchers at the University of Virginia, Department of Computer Science have been developing a wireless sensor network for assisted-living and residential monitoring. ALARM-NET provides pervasive and adaptive health-care for continuous monitoring using environmental and wearable sensors. ALARM-NET is a wireless sensor network for smart healthcare. While preserving resident comfort and privacy, the network creates a continuous medical history. Unobtrusive area and environmental sensors combine with wearable interactive devices to evaluate the health of spaces and the people who inhabit them. Authorized care providers may monitor resident health and activity patterns, such as circadian rhythm changes, which may signify changes in healthcare needs. High costs of installation and retrofitting are avoided by using ad hoc, self-managing networks.

Smarthomelrg The AlarmNet architecture for smart healthcare possesses the essential elements of future medical applications such as integration with existing medical practices and technology, real-time, long-term monitoring, miniature, wearable sensors, and assistance to the elderly and chronic patients. It extends healthcare from the traditional clinic or hospital setting to assisted-living and retirement homes, enabling 'telecare' without the prohibitive costs of retrofitting existing structures. In AlarmNet, the WSN collects data according to a physician's specifications, removing some of the cognitive burden from the patient (who may suffer age-related memory decline) and providing a continuous record to assist diagnosis. Health-related tasks are also made easier for the patient, for example, medication reminders, object location, and emergency communication.The architecture is multi-tiered, with lightweight sensors, mobile components, and more powerful stationary devices. Sensors are heterogeneous, and all integrate into the network. Multiple patients and their resident family members are differentiated for sensing tasks and access privileges.

As researchers at UVA point out, wireless sensor networks are ideally suited as a foundation for smart healthcare in AlarmNet, due to these several inherent qualities:
Portability and unobtrusiveness. Small devices collect data and communicate wirelessly, operating with minimal patient input. They may be carried on the body or deeply embedded in the environment. Unobtrusiveness helps with patient acceptance and minimizes confounding measurement effects. Since monitoring is done in the living space, the patient travels less often, which is safer and more convenient.
Ease of deployment and scalability. Devices can be deployed in potentially large quantities with dramatically less complexity and cost compared to wired networks. Existing structures, particularly dilapidated ones, can be easily augmented with a WSN network whereas wired installations would be expensive and impractical. Devices are placed in the living space and turned on, self-organizing and calibrating automatically.
Real-time and always-on. Physiological and environmental data can be monitored continuously, allowing real-time response by emergency or healthcare workers. The data collected form a health journal, and are valuable for filling in gaps in the traditional patient history. Even though the network as a whole is always-on, individual sensors still must conserve energy through smart power management.
Reconfigurability and self-organization. Since there is no fixed installation, adding and removing sensors instantly reconfigures the network. Doctors may re-target the mission of the network as medical needs change. Sensors self-organize to form routing paths, collaborate on data processing, and establish hierarchies.

MotionmoteResearchers at UVA have adapted a low-cost sensor module that is capable of detecting motion and light intensity changes. The module also has a simple one-button and one-LED user interface for testing and diagnostics. The module is interfaced to a MicaZ wireless sensor node that processes the sensor data and forwards the information to the rest of the wireless network. The picture shows a MicaZ detached from its normal battery-pack and interfaced to the motion sensor (X-10 RF circuits were removed, making this a truly low-power sensor) via the 51-pin connector. A set of such modules (MotionMote) is used to track human presence and to monitor the lighting conditions in various locations of the living space. This activity data is used to maintain location context, and are fed to the back-end software.

AlarmNet has also implemented a wearable body network with MicaZ motes embedded in a jacket, which can record human activities andWearablebodymotes location using a 2-axis accelerometer and GPS. The components are shown (w/out jacket). The recorded activity data is uploaded subsequently through an access point for archival, from which past human activities and locations can be reconstructed. One mote is placed on the back so that the y-axis (either positive or negative) is always pointing downward. It may also possess GPS capability if the tracking aspect is to be used. The other two motes are placed one on each arm so that when the arm is in a vertical position pointing down, the y-axis (either positive or negative) also points down. A web-server interface has also been implemented to make some SQL requests of a DBMS through a localized user interface which is a user view for this sub-system. This module allows the user to query the data collected and identify various activities that the user performed in the past and his or her location information of the past.

SolardustsensorboardSolarDust, a sensor board for Mica motes shown on the left was also designed to provide the mote's microprocessor with a UART interface to a bluetooth transceiver. This enables the body network to communicate with other commercially available sensor devices, as well as communicate with a resident's cell phone for emergency response! The backbone network connects traditional systems, such as PDAs, PCs, and databases, to the sensor network. It also connects discontiguous sensor nodes by a high-speed relay for efficient routing. The backbone may communicate wirelessly or may overlay onto an existing wired infrastructure. In a previous posting, we discussed the LCD interface board for the MicaZ that is suitable for wearable applications, called the SeeMote. It presents sensor readings, reminders and queries, and can accept rudimentary input from the wearer. It has a five-button interface and a Secure Digital flash memory expansion port.

A wireless sensor network solution like AlarmNet benefits both the healthcare providers and their patients. For the providers, an automatic monitoring system is valuable for many reasons as it frees humans from 24/7 physical monitoring, reducing labor costs and increasing efficiency. The wearable sensor devices can sense even small changes in vital signals that humans might overlook, such as heart rate and blood oxygen levels, boosting accuracy. The quick notification of these changes may save human lives, and the data collected from the wireless sensor network can be stored and integrated into a comprehensive health record of each patient, which helps physicians make more informed diagnoses. Eventually, the analyzing, diagnosis, treatment process may also be semi-automated, so a human physician can be assisted by an electronic physician.

Healthcare patients benefit from improved health as a result of faster diagnosis and treatment of diseases. Other quality-of-life issues, such as privacy, dignity, and convenience, are supported and enhanced by the ability to provide services in an environment more comfortable for the patient. Though 24/7 physical presence of caregivers is reduced, the patient is not isolated from contact with the outside world—an important component of mental health. Family members and the system itself become part of the healthcare team. Finally, memory aids and other patient-assistance services can restore some lost independence, while preserving safety.

This implementation of wireless sensor networks will enable us to create a world that can improve the quality of life for through continuous monitoring of those needing as 'Assisted Living and Residential Monitoring Network.'

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